# -*- coding: utf-8 -*-
from datetime import timedelta
from utils.operators.cluster_for_spark_sql_hook_test_for_airflow_bug_operator import SparkSqlOperator


jms_dm__dm_all_step_stop_detail_hi = SparkSqlOperator(
    task_id='jms_dm__dm_all_step_stop_detail_hi',
    task_concurrency=1,
    pool_slots=3,
    master='yarn',
    execution_timeout=timedelta(hours=1),
    email=['wangmenglei@jtexpress.com','yl_bigdata@yl-scm.com'],
    name='jms_dm__dm_all_step_stop_detail_hi_{{ execution_date | cst_hour }}',
    sql='jms_route_test/dm/dm_all_step_stop_detail_hi/execute.sql',
    driver_memory='10G',
    driver_cores=4,
    executor_cores=8,
    executor_memory='8G',
    num_executors=60,
    conf={
        'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
        'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
        'spark.dynamicAllocation.maxExecutors': 100,  # 动态资源最大扩容 Executor 数
        'spark.dynamicAllocation.cachedExecutorIdleTimeout': 120,  # 动态资源自动释放闲置 Executor 的超时时间(s)
        'spark.executor.memoryOverhead': '4G',  # 堆外内存
        'spark.sql.shuffle.partitions': 800,
        #'spark.driver.maxResultSize': '6G',
        'spark.sql.broadcastTimeout': '3600',
        'spark.sql.adaptive.enabled': 'true',
        'spark.sql.adaptive.shuffle.targetPostShuffleInputSize': 128000000,
        #'spark.shuffle.spill.batchSize':100000,
        #'spark.reducer.maxSizeInFlight':'24m',
        #'spark.driver.extraJavaOptions':'-Xss30M',
        'spark.executor.extraJavaOptions': '-XX:+UseG1GC -XX:ParallelGCThreads=8'

},
hiveconf={'hive.exec.dynamic.partition': 'true',
          'hive.exec.dynamic.partition.mode': 'nonstrict',
          'hive.exec.max.dynamic.partitions.pernode': 200,
          'hive.exec.max.dynamic.partitions': 200
          },
         yarn_queue='pro',
)
